How to REINDEX a Pandas Series and DataFrame in Python

Reindexing a Pandas Series or DataFrame in Python means changing the order of the rows or columns in the data. This can be done by using the reindex() function.

First, you need to import the Pandas library and create a Series or DataFrame. For example, you can create a Series with some sample data.

import pandas as pd

data = {'product': ['Apple', 'Banana', 'Cherry', 'Date', 'Eggplant'],

              'price': [1.2, 2.3, 2.5, 1.7, 2.0]}

df = pd.DataFrame(data)

Next, you can use the reindex() function to change the order of the rows in the DataFrame.

For example, to reorder the rows in the DataFrame by the ‘product’ column in ascending order, you can use the following code:

df = df.reindex(df.product.sort_values().index)

You can also use reindex() function on columns to change the order of columns

df = df[['product','price']]

By using reindex() function, you can change the order of the rows or columns to suit your needs. You can also use a specific list of index or columns and reindex them.

Reindexing a Pandas Series or DataFrame can be useful for data analysis, as it allows you to better organize and understand your data. It can also be useful when working with a large dataset and you want to see a specific subset of the data.

In this Learn through Codes example, you will learn: How to REINDEX a Pandas Series and DataFrame in Python.

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